Article summarizing the approach to bibliographic metadata development at the University of Michigan Library for journal articles published and archived in HathiTrust.

This article describes how the 3Dhotbed project (an acronym for “3D Printed History of the Book Education”) harnesses maker culture to advance book history instruction by providing open-access 3D data through a digital library platform.

This document is part of a series of white papers on various copyright issues. Fair use is a powerful tool for people who want to use and expand on copyrighted works. Fair use is special among the other copyright exceptions because it isn’t specifically targeted at one kind of use. Instead, fair use is purposely open ended to permit many different kinds of uses. One downside of this however, is that it can be difficult for anyone — lawyer and nonlawyer alike — to figure what is/isn’t fair use under the law. This white paper attempts to review the fair use statute, go over its famous “four factor test,” and offers some suggestions about how to think through each part.

Article on the fear of negative evaluation and differences amongst librarians.

This article adds to the growing body of research in meeting science, explored from a library perspective. The authors investigate the predictors of success for productive meetings, librarian perceptions of effective meeting leadership, and best practices for meeting leadership.

This paper discusses the results of the formal usability studies and focus groups that involved other libraries' web pages to to first determine what users appreciated or disliked about the current site. This article was co-published in The Eleventh Off-Campus Library Services Conference Proceedings.

This column article discusses how academic librarians can assist with increasing student retention in STEM fields.

This article discusses scholarly communication from a holistic perspective and includes some strategies implemented at University of North Texas Libraries.

Article explores dynamic fusion models to find, on the fly, the model or combination of models that performs best on a variety of document types. The experimental results show that the approach that fuses different models outperforms individual models and other ensemble methods on three datasets.